Posted inCardiology news
Integrating Serum Metabolomics and Polygenic Risk Scores Redefines 5-Year Atrial Fibrillation Prediction
A massive UK Biobank study demonstrates that combining serum metabolomics with polygenic risk scores and clinical data significantly improves the prediction of incident atrial fibrillation, identifying key metabolic markers like linoleic acid that enhance traditional risk stratification tools.



















